Towards Finding Valuable Topics

13 years 5 months ago
Towards Finding Valuable Topics
Enterprises depend on their information workers finding valuable information to be productive. However, existing enterprise search and recommendation systems can exploit few studies on the correlation between information content and information workers' productivity. In this paper, we combine content, social network and revenue analysis to identify computational metrics for finding valuable information content in people's electronic communications within a large-scale enterprise. Specifically, we focus on two questions: (1) how are the topics extracted from such content correlate with information workers' performance? and (2) how to find valuable topics with potentially high impact on employee performance? For the first question, we associate the topics with the corresponding workers' productivity measured by the revenue they generate. This allows us to evaluate the topics' influence on productivity. We further verify that the derived topic values are consiste...
Zhen Wen, Ching-Yung Lin
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where SDM
Authors Zhen Wen, Ching-Yung Lin
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